FCILINK: Mining Frequent Closed Itemsets Based on a Link Structure between Transactions
The problem of discovering association rules between items in a database is an emerging area of research. Its goal is to extract significant patterns or interesting rules from large databases.
Kyong Rok Han, Jae Yearn Kim
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Ontology-driven association rule mining for biomedical entity relationships: integrating hierarchical knowledge to improve gene-disease discovery. [PDF]
Sci RepNaqash MA +7 more
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Temporal Evolution of the Profile of Patients Hospitalized with Heart Failure (2000-2022). [PDF]
Clin PractSeoane-Pillado T +5 more
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Approaches to text mining for analyzing treatment plan of quit smoking with free-text medical records: A PRISMA-compliant meta-analysis. [PDF]
Medicine (Baltimore), 2020 Huang HL, Hong SH, Tsai YC, Tsai YC.
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Size of random Galois lattices and number of frequent itemsets
, 2005 19 pagesWe compute the mean and the variance of the size of the Galois lattice built from a random matrix with i.i.d. Bernoulli(p) entries. Then, obseving that closed frequent itemsets are in bijection with winning coalitions, we compute the mean and the
Emilion, Richard, Levy, Gerard
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Research on rapid construction methods and evaluation of health education resources in public health emergencies based on knowledge development. [PDF]
Front Public HealthHuang R, Zou Y, Zhou L, Jiang T.
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cdeNDI:a Efficient Algorithm for Mining Frequent Itemsets
, 2007 頻繁項目集的探勘，也就是從大型資料庫中找出頻繁項目集。這是許多其他問題的根本和基礎，像是關連規則、循序規則、分類和許多其他的課題。 在過去十年來，這個問題已經有了很大的進展。許多的演算法或改進現有演算法都不斷的被提出。然而，當我們降低最低支持度或是當我們遇到的資料庫是高度關連的時候，頻繁項目集的數目可能會極大。因此，如何應付密集資料庫仍然是一各具挑戰性的課題。 在這篇論文裡，我們提出cdeNDI這一種新演算法。這是以Eclat這個演算法為基礎，將closed itemsets和non ...
Huang, Chien-Ming, 黃健銘
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Novel architecture for gated recurrent unit autoencoder trained on time series from electronic health records enables detection of ICU patient subgroups. [PDF]
Sci Rep, 2023 Merkelbach K +4 more
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Development of targeted safety hazard management plans utilizing multidimensional association rule mining. [PDF]
HeliyonQiang X, Li G, Sari YA, Fan C, Hou J.
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Digital Twin-Based Safety Risk Coupling of Prefabricated Building Hoisting. [PDF]
Sensors (Basel), 2021 Liu Z, Meng X, Xing Z, Jiang A.
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